Macro-economy - MESSAGE-GLOBIOM
|Model Documentation - MESSAGE-GLOBIOM|
|Institution||International Institute for Applied Systems Analysis (IIASA)|
|Concept||Hybrid model (energy engineering and land use partial equilibrium models soft-linked to macro-economic general equilibrium model)|
|Solution method||Hybrid model (linear program optimization for the energy systems and land-use modules, non-linear program optimization for the macro-economic module)|
|Anticipation||Myopic/Perfect Foresight (MESSAGE can be run both with perfect foresight and myopically, while GLOBIOM runs myopically)|
The detailed energy supply model (MESSAGE) is soft-linked to an aggregated, single-sector macro-economic model (MACRO) which has been derived from the so-called Global 2100 or ETA-MACRO model (Manne and Richels, 1992 1), a predecessor of the MERGE model. The reason for linking the two models is to consistently reflect the influence of energy supply costs, as calculated by MESSAGE, in the mix of production factors considered in MACRO, and the effect of changes in energy prices on energy service demands. The combined MESSAGE-MACRO model (Messner and Schrattenholzer, 2000 2) can generate a consistent economic response to changes in energy prices and estimate overall economic consequences (e.g., GDP or consumption loss) of energy or climate policies.
MACRO is a macroeconomic model maximizing the intertemporal utility function of a single representative producer-consumer in each world region. The optimization result is a sequence of optimal savings, investment, and consumption decisions. The main variables of the model are the capital stock, available labor, and energy inputs, which together determine the total output of an economy according to a nested CES (constant elasticity of substitution) production function. Energy demand in the six commercial demand categories of MESSAGE (see Energy demand of MESSAGE-GLOBIOM) is determined within the MACRO model, and is consistent with energy supply from MESSAGE, which is an input to the model.
The model’s most important driving input variables are the projected growth rates of total labor, i.e., the combined effect of labor force and labor productivity growth and the annual rates of reference energy intensity reduction. The latter is calibrated to the developments in a MESSAGE baseline scenario to ensure consistency between the two models. Labor supply growth is also referred to as reference or potential GDP growth. In the absence of price changes, energy demands grow at rates that are the approximate result of potential GDP growth rates, reduced by the rates of overall energy intensity reduction. Price changes of the six demand categories can alter this path significantly.
MACRO’s production function includes six commercial energy demand categories represented in MESSAGE. To optimize, MACRO requires cost information for each demand category. The exact definitions of these costs as a function over all positive quantities of energy cannot be given in closed form because each point of the function would be a result of a full MESSAGE run. However, the optimality conditions implicit in the formulation of MACRO only require the functional values and its derivatives at the optimal point to be consistent between the two sub-models. Since these requirements are therefore only local, most functions with this feature will simulate the combined energy-economic system in the neighborhood of the optimal point. The regional costs (energy use and imports) and benefits (energy exports) of providing energy in MACRO are approximated by a Taylor expansion to first order of the energy system costs as calculated by MESSAGE. From an initial MESSAGE model run, the total energy system cost (including costs/revenues from energy trade) and additional abatement costs (e.g., abatement costs from non-energy sources) as well as the shadow prices of the six commercial demand categories by region are passed to MACRO. In addition to the economic implications of energy trade, MACRO also includes the implications of GHG permit trade.
For a more elaborate description of MACRO, including the system of equations and technical details of the implementation, please consult the annex presenting the mathematical formulation of MACRO in Appendices of MESSAGE-GLOBIOM.
- Alan Sussmann Manne, Richard G Richels (1992). Buying greenhouse insurance: the economic costs of carbon dioxide emission limits. MIT press.
- Sabine Messner, Leo Schrattenholzer (2000). MESSAGE–MACRO: linking an energy supply model with a macroeconomic module and solving it iteratively. Energy, 25 (3), 267--282.